abhishek-kathuria/CIFAR100-Image-Classification
Classify CIFAR-100 images using CNN, ResNet and transfer learning using PyTorch
This project helps machine learning engineers and deep learning researchers learn and implement image classification techniques. It takes the CIFAR-100 dataset of small color images and applies various deep learning models, outputting a classification of what object is in each image. It's designed for those who want to understand and compare different neural network architectures.
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Use this if you are a deep learning practitioner or student looking to understand and apply fundamental image classification models, from basic CNNs to advanced ResNet architectures and transfer learning.
Not ideal if you are looking for a plug-and-play solution for a business problem, or if your images are high-resolution or require more complex, production-ready classification systems.
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Apr 24, 2022
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